CN109567830A - A kind of measurement of personality method and system based on neural response - Google Patents
A kind of measurement of personality method and system based on neural response Download PDFInfo
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Abstract
The embodiment of the present invention provides a kind of measurement of personality method and system based on neural response, wherein provided method includes: the Personality test material played in preset material database to testee, and receives the EEG signals of the testee；The response characteristic extracted in EEG signals constructs response characteristic vector；Response characteristic vector is input in preset personal traits regression model, the personal traits index of the testee is calculated by personal traits regression model；Wherein, the response characteristic is the average value with personality related brain electricity ingredient of testee testee in preset time range after observing preset Personality test material.Method provided in an embodiment of the present invention, the personal traits related cognitive state of testee is induced using specific material, and record the EEG signals of this process, and then the personal traits of testee is judged according to EEG signals, based on objective eeg data, more accurate, true assessment can be carried out to personal traits.
Description
Technical field
The present embodiments relate to biomechanics more particularly to a kind of measurement of personality method based on neural response and it is
System.
Background technique
Personality is the key concept that psychology is used to describe individual otherness in cognition and behavior, it reflects a people
It is different from other people thought, emotion and the unique pattern of behavior.How to carry out accurately measurement to personality is psychological field
Important topic, also by public concern.It is five-factor model personality that personality common at present, which describes method,.Personal traits is divided by it
Five dimensions: extroversion (extraversion) indicates that the extroversion of personality is horizontal；Neurotic (neuroticism) indicates mood
Maintenance level；Open (openness), indicates the open level of personality；Pleasant property (agreeableness) indicates personality
Affine level；Doing one's duty property (conscientiousness) indicates that the discretion of personality is horizontal.
In the prior art, it is to the main two methods of the test of personality: the personality test of self formula and personality projection
Test.However, subject evaluates the personal traits of oneself according to the idea of oneself in self method, this
The result of one measurement method determines by the individual reports of testee completely, when target individual, which is in, selects the environment such as competition, very
It is easy the interference by subjective pseudo- decorations.And project in test and situational test method, testee needs freely explain to material
It states or is reacted under certain situation, testing person observes it and illustrates interior perhaps reaction to infer its personal traits.It is this kind of
Measurement method equally lacks objective appraisal standard, and needs take a substantial amount of time and human cost.
In the prior art, there is no a kind of with objective and automation Personality test method, carries out to tester straight
Quick measurement of personality is seen, while the prior art, in the measurement of personality, test material does not often have universality, due to tested
The culture background of person is different, and test result can also generate certain deviation.
Summary of the invention
The embodiment of the present invention provides a kind of measurement of personality method and system based on neural response, to solve the prior art
In do not have a kind of with objective and automation Personality test method, asked to carry out intuitive quickly measurement of personality to tester
Topic.
In a first aspect, the embodiment of the present invention provides a kind of measurement of personality method based on neural response, comprising:
The Personality test material in preset material database is played to testee, and receives the EEG signals of the testee；
Extract the response characteristic building response characteristic vector in the EEG signals；The response characteristic vector is input to
In preset personal traits regression model, referred to by the personal traits that the personal traits regression model calculates the testee
Mark.
Wherein, the response characteristic be the testee after observing preset Personality test material in the preset time
The average value of the crucial brain electricity ingredient of the testee in range.
Second aspect, the embodiment of the present invention provide a kind of measurement of personality system based on neural response, comprising:
Signal receiving module, for playing the Personality test material in preset material database to testee, and described in reception
The EEG signals of testee；
Characteristic extracting module, for extracting the building response characteristic vector of the response characteristic in the EEG signals；
Computing module passes through institute for the response characteristic vector to be input in preset personal traits regression model
State the personal traits index that personal traits regression model calculates the testee；
Wherein, the response characteristic be the testee after observing preset Personality test material in the preset time
The average value of the crucial brain electricity ingredient of the testee in range.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, the processor are realized when executing described program such as above-mentioned first aspect institute
The step of measurement of personality method based on neural response provided.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program is realized as provided by above-mentioned first aspect when the computer program is executed by processor based on the personality of neural response
The step of measurement method.
Method provided in an embodiment of the present invention induces the personal traits related cognitive state of testee using specific material,
And the EEG signals of this process are recorded, and then the personal traits of testee is judged according to EEG signals, based on objective brain electricity
Data, the problem of can be influenced to avoid traditional subjective measurement personality method by the subjective factor of testee, to personal traits into
Row is more accurate, really assesses.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of flow diagram for measurement of personality method based on neural response that one embodiment of the invention provides；
Fig. 2 is a kind of structural schematic diagram for measurement of personality system based on neural response that one embodiment of the invention provides；
Fig. 3 is the structural schematic diagram for a kind of electronic equipment that one embodiment of the invention provides.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
With reference to Fig. 1, Fig. 1 is a kind of process for measurement of personality method based on neural response that one embodiment of the invention provides
Schematic diagram, provided method include:
S1 plays the Personality test material in preset material database to testee, and receives the brain telecommunications of the testee
Number；
S2 extracts the response characteristic building response characteristic vector in the EEG signals；
The response characteristic vector is input in preset personal traits regression model, passes through the personal traits by S3
Regression model calculates the personal traits index of the testee；
Wherein, the response characteristic be the testee after observing preset Personality test material in the preset time
The average value of the crucial brain electricity ingredient of the testee in range.
Specifically, for 20 kinds of positive negative feelings of typical case involved in the positive emotion Negative Affect scale (PANAS),
The testee new for one, for each mood, chooses 40 materials and plays out from the material database constructed in advance,
The EEG signals that testee induces in testing are obtained, while feature extraction is carried out to collected EEG signals, are obtained tested
For inducing the response characteristic of material, brain electroresponse goes out current moment by material and be aligned and time domain superposed average person, such
Superposed average very carries out the material under different type of emotion attributes respectively.It focuses on but is not limited to appear in induction
Delta (1-3Hz), theta (4-8Hz), alpha (8-13Hz), beta (14-30Hz), gamma (30- after material presentation
The advanced stage positive ingredient of brain electricity of early stage negative ingredient EPN, 400ms of 200ms or so or so after 50Hz) etc. frequency band energies and stimulation occur
The representativeness brain electricity ingredient such as the advanced stage of LPP, 400-700ms negative ingredient N400.The brain electrical feature being extracted is under certain type of emotion
In the brain electroresponse that material induces, in certain special time period, the mean value of above-mentioned brain electrical feature obtained by certain special electrodes.It will be by
Survey person is to the different event related potential response characteristic composition characteristic vectors for inducing material as the defeated of personal traits regression model
Enter data, the personal traits index of the testee is calculated by the personal traits regression model.
In specific implementation, mainly pass through formula:
Calculate the personal traits index for obtaining testee, in formula, SiFor the Scoring Guidelines of i-th dimension of testee,
aikFor weighted array coefficient, N is characterized number, fikElement respectively in personal traits related brain electrical feature group.Wherein, with
Specifically the personality inventory assessment indicator of assessment scene is that dependent variable establishes multiple regression equation to obtain described add by study
Weigh combination coefficient.After training obtains coefficient, after new subject measures brain electricity and extracts feature, it is included in corresponding formula and calculates
The Scoring Guidelines of a certain dimension can be obtained.
And can the personal traits to the testee further interpreted.
By the method, the personal traits related cognitive state of testee is induced using specific material, and records this mistake
EEG signals of journey, and then judge according to EEG signals the personal traits of testee, are based on objective eeg data, can be to avoid
The problem of traditional subjective measurement personality method is influenced by the subjective factor of testee, it is more accurate, true to carry out to personal traits
Real assessment.
On the basis of the above embodiments, the step that the Personality test material in preset material database is played to testee
Before rapid, further includes: for each mood in positive and negative affective scales, choose multiple materials alternately material；It is right
Each of alternative material material is given a mark, and is chosen its mid-score and is sorted the material of highest preset quantity, building
Material database；Wherein, the type of the material includes but is not limited to: picture, sound, one of text or video or a variety of.
Specifically, in the present embodiment, material database by the induction material of the various states such as including but not limited to mood, cognition,
Only the method for building up of database is illustrated so that mood induces material as an example herein.With positive emotion Negative Affect scale
(PANAS) for 20 kinds of positive negative feelings of typical case involved in, the foundation of material database includes three steps, firstly, being directed to every kind of feelings
Thread selects 100 parts and the above picture or sound material alternately；Hereafter, it is invited by modes such as network questionnaire, interviews
500 have Different Culture background, different education levels people (wherein, education level will be divided into do not receive an education, primary school
Degree, junior middle school's degree, senior middle school's degree, university degree and 6 kinds of postgraduate's degree；Language knowledge background is divided into the including but not limited to Chinese
Language, English, Japanese, German, Spanish etc. are a variety of) degree of above-mentioned picture and sound material induction target emotion is beaten
1 to 7 points, 1 point is that cannot induce corresponding mood completely, and 7 points are to be fully able to induce corresponding mood；Final every kind of mood is to deserved
20 picture materials are by selected material database before points preceding 20 sound material and score, and in specific implementation, the type of material can be with
Including but not limited to picture, sound, the combination of one of text or video or a variety of materials.
On the basis of the above embodiments, described that the response characteristic vector is input to preset personal traits recurrence mould
Before step in type, further includes: obtained according to the eeg data of the personnel of several different people speciality and corresponding behaviouristics personality
Point, construct training sample database；Pass through the training sample database, training regression model.
Wherein, the crucial brain electricity ingredient specifically includes: delta, theta, alpha, beta and gamma in EEG signals
The frequency band energy of wave band and early stage 200ms after by material stimulation negative ingredient EPN, 400ms the advanced stage positive ingredient of brain electricity
The advanced stage of LPP and 400-700ms negative ingredient N400.
Specifically, in the present embodiment, first choice needs to construct personal traits regression model, specific model construction movement packet
It includes to 500 or more, there are different education levels, testee group from different cultures corresponding induction element to be presented respectively
Material is distributed in each testee record the EEG signals in the Different electrodes channel of Different brain region, then by extracting brain
In electric signal includes but is not limited to the identification that time domain, frequency domain and spatial feature are used for personal traits.Delta in EEG signals
(1-3Hz), theta (4-8Hz), alpha (8-13Hz), beta (14-30Hz), frequency band energies and the thorn such as gamma (30-50Hz)
Swash the advanced stage of advanced stage positive ingredient LPP, 400-700ms of brain electricity of early stage negative ingredient EPN, 400ms of 200ms or so or so after occurring
Negative ingredient N400 be in the present invention plan extract but not limited to this feature.Finally, by being collected for more than 500 different personalities
Recurrence mould is respectively trained in above-mentioned multiple dimensions in the eeg data of speciality testee behaviouristics personality score corresponding with them
Type, as personal traits regression model.
On the basis of the above embodiments, the step that the Personality test material in preset material database is played to testee
Suddenly, it specifically includes: choosing the Personality test material of preset quantity from the material database；By playback equipment, the people is played
Lattice test material；Wherein, the culture background includes at least receive an education depth and language setting.
The EEG signals include at least: the brain electricity obtained from Fz, Cz, Pz, Oz, O1, O2, C3, C4, F3 and F4 electrode
Signal.
Specifically, in view of the content of stimulation material database may impact Personality test result.For example, working as material
When for text, for the user that can not understand stimulation meaning due to education level is insufficient or does not learn this language,
The difference that these texts carry meaning will be unable to be identified and processed by brain, and then cause personality recognition methods that can not make
With；In addition, due to user's culture background difference that may be present, to Same Scene, somebody can for picture or visual transmission
It can feel interesting, somebody may then feel to offend, and cause stimulation that can not successfully induce system designer and lure in the original plan
The mood color of hair causes possible deviation in result.Therefore, in the present embodiment, during being constructed to material database,
What is chosen is the material for all having universality for the personnel of different culture backgrounds, to construct material database, is carrying out test element
When material is chosen, it is only necessary to be randomly selected to the material in material database, the material for choosing preset quantity broadcasts testee
It puts, to measure.Every testee at least acquires 8 channel EEG signals, and covering electrode includes Fz, Cz, Pz, Oz, O1,
O2, C3, C4, F3, F4, sample rate are not less than 200Hz.Wherein, the increase of acquisition channel quantity can promote mood detection and know
Other accuracy rate.
In conclusion method provided in an embodiment of the present invention, proposes a set of quick, accurate survey based on electroencephalogramsignal signal analyzing
The automatic testing method of personal traits is measured, further, by providing the stimulus material with universality for testee, guarantees thorn
Swash the validity induced, thus guarantee the reliability of result and the broad applicability of system, meanwhile, the diversity of material type is protected
The diversity of stimulation type has been demonstrate,proved, the personality method for automatic measurement applicable across education degree, cross-cultural background has been realized, occurrences in human life is discriminated
The fields such as choosing, occupational planning have important application value.
With reference to Fig. 2, Fig. 2 is a kind of structure for measurement of personality system based on neural response that one embodiment of the invention provides
Schematic diagram, provided system include: signal receiving module 21, characteristic extracting module 22 and computing module 23.
Wherein, signal receiving module 21 is used to play the Personality test material in preset material database to testee, and connects
Receive the EEG signals of the testee；
Characteristic extracting module 22 is used to extract the response characteristic building response characteristic vector in the EEG signals；
Computing module 23 passes through institute for the response characteristic vector to be input in preset personal traits regression model
State the personal traits index that personal traits regression model calculates the testee；
Wherein, the response characteristic be the testee after observing preset Personality test material in the preset time
The average value of the crucial brain electrical feature of the testee in range.
Specifically, the testee new for one, signal receiving module first choice is from the material database constructed in advance, for every
A kind of mood is chosen 40 materials and is played out, and obtains the EEG signals that testee induces in testing, while to collected
EEG signals carry out feature extraction, obtain testee for the response characteristic of induction material, characteristic extracting module is to brain electroresponse
Go out current moment by material be aligned and time domain superposed average, such superposed average is very under different type of emotion attributes
Material carries out respectively.It focuses on but is not limited to appear in and induce delta (1-3Hz), theta (4- after material is presented
8Hz), 200ms is left after alpha (8-13Hz), beta (14-30Hz), the frequency band energies such as gamma (30-50Hz) and stimulation occur
The generations such as the advanced stage negative ingredient N400 of advanced stage positive ingredient LPP, 400-700ms of brain electricity of right early stage negative ingredient EPN, 400ms or so
Table brain electricity ingredient.The brain electrical feature being extracted is in the brain electroresponse that material induces under certain type of emotion, in certain specific time
In section, the average value of above-mentioned brain electrical feature obtained by certain special electrodes.Testee is mutually powered-down to the different events for inducing material
Input data of the position response characteristic composition characteristic vector as personal traits regression model, passes through the personal traits regression model
Calculate the personal traits index of the testee.
In specific implementation, mainly pass through formula:
Calculate the personal traits index for obtaining testee, in formula, SiFor the Scoring Guidelines of i-th dimension of testee,
aikFor weighted array coefficient, N is characterized number, fikElement respectively in personal traits related brain electrical feature group.Wherein, with
Specifically the personality inventory assessment indicator of assessment scene is that dependent variable establishes multiple regression equation to obtain described add by study
Weigh combination coefficient.It is calculated in corresponding scale according to the coefficient of acquisition and obtains personal traits score, it can be to the people of the testee
Lattice speciality is further interpreted.
By this system, the personal traits related cognitive state of testee is induced using specific material, and records this mistake
EEG signals of journey, and then judge according to EEG signals the personal traits of testee, are based on objective eeg data, can be to avoid
The problem of traditional subjective measurement personality method is influenced by the subjective factor of testee, it is more accurate, true to carry out to personal traits
Real assessment.
Fig. 3 is the structural schematic diagram of a kind of electronic equipment of the embodiment of the present invention, as shown in figure 3, provided equipment packet
It includes: processor (processor) 301, communication interface (Communications Interface) 302, memory (memory)
303 and bus 304, wherein processor 301, communication interface 302, memory 303 complete mutual communication by bus 304.
Processor 301 can call the logical order in memory 303, to execute following method, for example, play to testee pre-
If material database in Personality test material, and receive the EEG signals of the testee；Extract the sound in the EEG signals
Answer feature construction response characteristic vector；The response characteristic vector is input in preset personal traits regression model, is passed through
The personal traits regression model calculates the personal traits index of the testee；Wherein, the response characteristic is described tested
Person after observing preset Personality test material in preset time range the crucial brain electricity ingredient of the testee it is flat
Mean value.
The embodiment of the present invention discloses a kind of computer program product, and computer program product includes being stored in non-transient calculating
Computer program on machine readable storage medium storing program for executing, computer program include program instruction, when program instruction is computer-executed,
Computer is able to carry out method provided by above-mentioned each method embodiment, for example, plays preset material database to testee
In Personality test material, and receive the EEG signals of the testee；Extract the response characteristic building in the EEG signals
Response characteristic vector；The response characteristic vector is input in preset personal traits regression model, it is special by the personality
Matter regression model calculates the personal traits index of the testee；Wherein, the response characteristic is that the testee is observing
After preset Personality test material in preset time range the crucial brain electricity ingredient of the testee average value.
The present embodiment provides a kind of non-transient computer readable storage medium, non-transient computer readable storage medium storages
Computer instruction, computer instruction make computer execute method provided by above-mentioned each method embodiment, for example, to tested
Person plays the Personality test material in preset material database, and receives the EEG signals of the testee；Extract the brain telecommunications
Response characteristic in number constructs response characteristic vector；The response characteristic vector is input to preset personal traits regression model
In, the personal traits index of the testee is calculated by the personal traits regression model；Wherein, the response characteristic is institute
State the crucial brain electricity of testee testee in preset time range after observing preset Personality test material at
The average value divided.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of measurement of personality method based on neural response characterized by comprising
The Personality test material in preset material database is played to testee, and receives the EEG signals of the testee；
Extract the response characteristic building response characteristic vector in the EEG signals；
The response characteristic vector is input in preset personal traits regression model, the personal traits regression model is passed through
Calculate the personal traits index of the testee；
Wherein, the response characteristic be the testee after observing preset Personality test material in preset time range
The average value of the crucial brain electricity ingredient of the interior testee.
2. the method according to claim 1, wherein the personality played to testee in preset material database
Before the step of testing material, further includes:
For each mood in positive and negative affective scales, multiple materials alternately material is chosen；
It gives a mark to each of alternative material material, chooses its mid-score and sort the element of highest preset quantity
Material constructs material database.
3. according to the method described in claim 2, it is characterized in that, the type of the material includes but is not limited to: picture, sound
Sound, one of text or video or a variety of.
4. the method according to claim 1, wherein described be input to preset people for the response characteristic vector
Before step in lattice speciality regression model, further includes:
According to the eeg data of the personnel of several different people speciality and corresponding behaviouristics personality score, training sample database is constructed；
By the training sample database, the personal traits regression model is trained.
5. according to the method described in claim 3, it is characterized in that, the key brain electricity compositional data specifically includes:
In EEG signals the frequency band energy of delta, theta, alpha, beta and gamma wave band and by the material stimulation after
The advanced stage negative ingredient N400 of the advanced stage positive ingredient LPP and 400-700ms of brain electricity of the early stage of 200ms negative ingredient EPN, 400ms.
6. the method according to claim 1, wherein the EEG signals include at least:
The EEG signals obtained from Fz, Cz, Pz, Oz, O1, O2, C3, C4, F3 and F4 electrode.
7. the method according to claim 1, wherein the personality played to testee in preset material database
The step of testing material, specifically includes:
The Personality test material of preset quantity is randomly selected from the material database；
By playback equipment, the Personality test material is played.
8. a kind of measurement of personality system based on neural response characterized by comprising
Signal receiving module for playing the Personality test material in preset material database to testee, and receives described tested
The EEG signals of person；
Characteristic extracting module, for extracting the building response characteristic vector of the response characteristic in the EEG signals；
Computing module passes through the people for the response characteristic vector to be input in preset personal traits regression model
Lattice speciality regression model calculates the personal traits index of the testee；
Wherein, the response characteristic be the testee after observing preset Personality test material in preset time range
The average value of the crucial brain electricity ingredient of the interior testee.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor is realized as described in any one of claim 1 to 7 when executing described program based on mind
The step of measurement of personality method through responding.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
The step of the measurement of personality method as described in any one of claim 1 to 7 based on neural response is realized when program is executed by processor
Suddenly.
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| CN110652294A (en) * | 2019-09-16 | 2020-01-07 | 清华大学 | Creativity personality trait measuring method and device based on electroencephalogram signals |
| CN112185493A (en) * | 2020-08-26 | 2021-01-05 | 山东大学 | Personality preference diagnosis device and project recommendation system based on same |
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